Senior Data Scientist
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
About Sugar.fit
Founded in 2021, Sugar.fit provides a personalized, evidence-based path to type 2 and pre-diabetes reversal and management. Leveraging a precision health platform that combines CGM sensors, machine learning, and medical science, we help improve metabolic health through precision nutrition, progressive fitness, and behavioral health coaching. Our research-driven treatment plan blends innovative technology, compassionate diabetes experts, and personalized strategies to empower people to lead a normal, healthy life.
Function: Data Science and Analysis – Data Science / Machine Learning
Responsibilities
- Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and performance feedback.
- Collaborate with cross-functional teams to align data science initiatives with business objectives.
- Analyze raw data: assess quality, cleanse, and structure it for downstream processing.
- Design and deploy accurate, scalable, and high-performance prediction algorithms.
- Drive end-to-end ownership of machine learning models, from research to production.
- Collaborate with engineering to transition analytical prototypes into production-ready solutions.
- Generate actionable insights for business strategy and product improvements.
- Stay updated on emerging technologies and industry trends, introducing best practices to the team.
Requirements
- Experience: 4-7 years in quantitative analytics, data modeling, or machine learning, including 2+ years of team leadership/management experience.
- Strong problem-solving skills with a focus on product development.
- Expertise in statistical programming languages (Python, R, SQL, etc.) to manipulate and analyze large datasets.
- Strong understanding of a variety of machine learning techniques (clustering, decision trees, neural networks, NLP, etc.) and their practical pros/cons.
- Proven track record of deploying ML models at scale in production environments.
- Excellent communication skills for coordinating across teams and presenting to leadership.
- Proficiency in Big Data frameworks and visualization tools (Hadoop, Spark, Cassandra, Tableau, Power BI, etc.).
- Familiarity with cloud environments (AWS, GCP, Azure) is a plus.
- Bachelor's/Master's/Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
More Info
Key Skills
About Company
Skills:
Time Series Analysis, Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, probabilistic forecasting, Statistics, statsmodels
Skills:
Python, Machine Learning, R, ML algorithms, data science pipeline, data-structures
Skills:
model selection , Nlp, Pyspark, Neural Networks, Python, Machine Learning, Google Cloud Platform, Classification, Data Text Mining, Big Data Platforms, Finetuning, Multi-modal Models, GPU/CPU Based Online Inferencing, LLM Gateways, Deep Neural Networks, Event Driven Architecture, Vector Databases, Optimization Methods, Embedding Generation, Model Deployment, Bayesian Models, Retrieval Augmented Generation, Prompt Engineering, Deep Learning Algorithms
Skills:
causal inference , Databricks, Python, Git, double debiased ML, uncertainty quantification, heterogeneous treatment effects, scikit-learn, Experimental Design, optimization logic, price elasticity estimation
Skills:
Azure Data Factory, Azure Databricks, Statistical modeling for access risk analysis, SQL and NoSQL database management, Implementation of security and compliance controls in Azure, Microsoft Azure Active Directory administration, Microsoft Azure Privileged Identity Management PIM, Power BI or similar data visualization tools, Python or R for data analysis and automation, REST APIs and integration with external data sources, Cloud governance and policy management, Azure Sentinel or other SIEM platforms, Certification in advanced Azure security solutions, Automation tools such as Terraform or Azure ARM templates, Machine learning algorithms for security threat detection